Communicating data science results effectively

Lecture 23

2024-06-18

Announcements

  • No Thursday office hours
  • Teammate evaluation for your group project is due tonight by 11:59 PM. It is under the Quiz tab on Canvas. There will be time allotted at the end of class. This will be used, along with other factors, to determine your Teamwork score for the project.

Take-home exam 2 tips

  • Make sure your take-home exam can render!
  • To be extra cautious: render after after starting a new code chunk! Do this every time!
  • If you aren’t sure how to complete a problem, break it into sub-steps that you do know how to complete.
  • Reference your AEs!

Project

  • Review peer evaluations left by your peers, implement updates as you see fit, close the issue once you review them.

  • Have a clear plan for who is doing what, open issues on your repo, and assign them to individuals who can then close the issues as they finish a task.

  • Schedule at least one team meting between today and your presentation to practice your presentation together.

Any project questions?

Effective communication

Take A Sad Plot & Make It Better

Application exercise

Application exercise: ae-17-effective-dataviz

  • Go to your project called ae.
  • If there are any uncommitted files, commit them, and push. Then pull.
  • Work on ae-17-effective-dataviz.qmd.

Recap

  • Represent percentages as parts of a whole
  • Place variables representing time on the x-axis when possible
  • Pay attention to data types, e.g., represent time as time on a continuous scale, not years as levels of a categorical variable
  • Prefer direct labeling over legends
  • Use accessible colors
  • Use color to draw attention
  • Pick a purpose and label, color, annotate for that purpose
  • Communicate your main message directly in the plot labels
  • Simplify before you call it done (a.k.a. “Before you leave the house, look in the mirror and take one thing off”)